Kun Zeng

According to our database, Kun Zeng authored at least 80 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A sparse lightweight attention network for image super-resolution.

Hongao Zhang, Jinsheng Fang, Siyu Hu, Kun Zeng

Vis. Comput., February, 2024

2023

Sensing Mechanism and Real-Time Bridge Displacement Monitoring for a Laboratory Truss Bridge Using Hybrid Data Fusion.

Kun Zeng, Sheng Zeng, Hai Huang, Tong Qiu, Shihui Shen, Hui Wang, Songkai Feng, Cheng Zhang

Remote. Sens., July, 2023

Performance Analysis and Power Allocation for Cooperative ISAC Networks.

Meng Liu, Minglei Yang, Huifang Li, Kun Zeng, Zhaoming Zhang, Arumugam Nallanathan, Guangjian Wang, Lajos Hanzo

IEEE Internet Things J., April, 2023

Densely Connected Transformer With Linear Self-Attention for Lightweight Image Super-Resolution.

Kun Zeng, Hanjiang Lin, Zhiqiang Yan, Jinsheng Fang

IEEE Trans. Instrum. Meas., 2023

FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment.

Qinghua Lin, Zuoyong Li, Kun Zeng, Haoyi Fan, Wei Li, Xiaoguang Zhou

CoRR, 2023

A Two-Stage Framework for Kidney Segmentation in Ultrasound Images.

Zhengxuan Song, Xun Liu, Yongyi Gong, Tianyong Hao, Kun Zeng

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answering.

Shaopei Long, Zhenguo Yang, Yong Li, Xiaobo Qian, Kun Zeng, Tianyong Hao

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

2022

Self-supervised domain adaptation for cross-domain fault diagnosis.

Weikai Lu, Haoyi Fan, Kun Zeng, Zuoyong Li, Jian Chen

Int. J. Intell. Syst., December, 2022

Structured Attention Network for Referring Image Segmentation.

Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li

IEEE Trans. Multim., 2022

Robust Feature Matching for Remote Sensing Image Registration via Guided Hyperplane Fitting.

Guobao Xiao, Huan Luo, Kun Zeng, Leyi Wei, Jiayi Ma

IEEE Trans. Geosci. Remote. Sens., 2022

Comparison of Repeatability and Stability of Residual Magnetic Field for Stress Characterization in Elastic and Plastic Ranges of Silicon Steels.

Kun Zeng, Guiyun Tian, Bin Gao, Jia Liu, Yi Liu, Qianhang Liu

Sensors, 2022

Study on In-Service Inspection of Nuclear Fuel Assembly Failure Using Ultrasonic Plate Wave.

Xiang Xiao, Guo Zheng Zhou, Ke Qing Wang, Feng Xi, Kun Zeng

Sensors, 2022

A Bi-level representation learning model for medical visual question answering.

Yong Li, Shaopei Long, Zhenguo Yang, Heng Weng, Kun Zeng, Zhenhua Huang, Fu Lee Wang, Tianyong Hao

J. Biomed. Informatics, 2022

Foreground-background decoupling matting.

Jiawei Wu, Guolin Zheng, Kun Zeng, Haoyi Fan, Zuoyong Li

Int. J. Intell. Syst., 2022

IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting.

M. Zhu, Kun Zeng, Ge Lin, Yongyi Gong, T. Hao, Kanoksak Wattanachote, Xiaonan Luo

IET Image Process., 2022

Integrated sensing and communication in 6G: a prototype of high resolution multichannel THz sensing on portable device.

Oupeng Li, Jia He, Kun Zeng, Ziming Yu, Xianfeng Du, Zhi Zhou, Yuan Liang, Guangjian Wang, Yan Chen, Peiying Zhu, Wen Tong, David Lister, Luke Ibbetson

EURASIP J. Wirel. Commun. Netw., 2022

Traversal Packets: Opportunistic Bypass Packets for Deadlock Recovery.

Zhiqiang Chen, Rangyu Deng, Kun Zeng, Xiaoqiang Ni, Hongwei Zhou

IEEE Des. Test, 2022

Performance Analysis and Power Allocation of Joint Communication and Sensing Towards Future Communication Networks.

Meng Liu, Minglei Yang, Huifang Li, Kun Zeng, Zhaoming Zhang, Xiancheng Cheng, Arumugam Nallanathan, Derrick Wing Kwan Ng, Guangjian Wang

CoRR, 2022

Attention-based bi-directional refinement network for salient object detection.

JunBin Yuan, Jinhui Wei, Kanoksak Wattanachote, Kun Zeng, Xiaonan Luo, Qingzhen Xu, Yongyi Gong

Appl. Intell., 2022

TextSMatch: Safe Semi-supervised Text Classification with Domain Adaption.

Yibin Xu, Ge Lin, Nanli Zeng, Yingying Qu, Kun Zeng

Proceedings of the Neural Computing for Advanced Applications, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A Hybrid Network of CNN and Transformer for Lightweight Image Super-Resolution.

Jinsheng Fang, Hanjiang Lin, Xinyu Chen, Kun Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning.

Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Vertical Retargeting for Stereoscopic Images via Stereo Seam Carving.

Kun Zeng, Jiangchuan Hu, Yongyi Gong, Kanoksak Wattanachote, Runpeng Yu, Xiaonan Luo

ACM Trans. Multim. Comput. Commun. Appl., 2021

CVE-Net: cost volume enhanced network guided by sparse features for stereo matching.

Qingzhen Xu, Shuang Liu, Guangyi Huang, Kun Zeng, Yongyi Gong, Xiaonan Luo

Soft Comput., 2021

Pipeline In-Line Inspection Method, Instrumentation and Data Management.

Qiu Ping Ma, Guiyun Tian, Yanli Zeng, Rui Li, Huadong Song, Zhen Wang, Bin Gao, Kun Zeng

Sensors, 2021

Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test.

Jia Liu, Guiyun Tian, Bin Gao, Kun Zeng, Yongbing Xu, Qianhang Liu

Sensors, 2021

Magnetic Barkhausen Noise Transient Analysis for Microstructure Evolution Characterization with Tensile Stress in Elastic and Plastic Status.

Jia Liu, GuiYun Tian, Bin Gao, Kun Zeng, Qianhang Liu, Yang Zheng

Sensors, 2021

Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning.

Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang, Tianyong Hao

BMC Medical Informatics Decis. Mak., 2021

TSSN-Net: Two-step Sparse Switchable Normalization for learning correspondences with heavy outliers.

Zhen Zhong, Guobao Xiao, Kun Zeng, Shiping Wang

Neurocomputing, 2021

SCSA-Net: Presentation of two-view reliable correspondence learning via spatial-channel self-attention.

Xin Liu, Guobao Xiao, Luanyuan Dai, Kun Zeng, Changcai Yang, Riqing Chen

Neurocomputing, 2021

Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent.

Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu

CoRR, 2021

Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent.

Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu

CoRR, 2021

Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang

CoRR, 2021

URNet: A U-Net based residual network for image dehazing.

Ting Feng, Chuansheng Wang, Xinwei Chen, Haoyi Fan, Kun Zeng, Zuoyong Li

Appl. Soft Comput., 2021

Integrated Sensing and Communication in 6G A Prototype of High Resolution THz Sensing on Portable Device.

Oupeng Li, Jia He, Kun Zeng, Ziming Yu, Xianfeng Du, Yuan Liang, Guangiian Wang, Yan Chen, Peiying Zhu, Wen Tong, David Lister, Luke Ibbotson

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021

2020

Sketch-Based Shape Retrieval via Best View Selection and a Cross-Domain Similarity Measure.

Yongzhe Xu, Jiangchuan Hu, Kanoksak Wattanachote, Kun Zeng, Yongyi Gong

IEEE Trans. Multim., 2020

Single-image super-resolution via joint statistic models-guided deep auto-encoder network.

Rong Chen, Yanyun Qu, Cuihua Li, Kun Zeng, Yuan Xie, Ce Li

Neural Comput. Appl., 2020

A Convolutional Attention Residual Network for Stereo Matching.

Guangyi Huang, Yongyi Gong, Qingzhen Xu, Kanoksak Wattanachote, Kun Zeng, Xiaonan Luo

IEEE Access, 2020

Occlusion-Guided Vertical Retargeting For Stereoscopic Images Based On Pixel Fusion.

Jiangchuan Hu, Kun Zeng, Kanoksak Wattanachote, Yongyi Gong

Proceedings of the IEEE International Conference on Image Processing, 2020

Comparison on pipeline welds and integrity through different electromagnetic NDT techniques.

Qiu Ping Ma, Gui-Yun Tian, Bin Gao, Darko Bajic, Stefan Culafic, Jia Liu, Tongle Wu, Kun Zeng, Zewe Liu, Qianhang Liu, Changrong Yang, Dong Liu

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

A novel edge-oriented framework for saliency detection enhancement.

Qingzhen Xu, Fengyun Wang, Yongyi Gong, Zhoutao Wang, Kun Zeng, Qi Li, Xiaonan Luo

Image Vis. Comput., 2019

White Blood Cell Segmentation via Sparsity and Geometry Constraints.

Zhen Zhong, Tao Wang, Kun Zeng, Xiaogen Zhou, Zuoyong Li

IEEE Access, 2019

A Very Deep Densely Connected Network for Compressed Sensing MRI.

Kun Zeng, Yu Yang, Guobao Xiao, Zhong Chen

IEEE Access, 2019

Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation.

Guobao Xiao, Kun Zeng, Leyi Wei, Tao Wang, Taotao Lai

IEEE Access, 2019

Identification and Prediction of Key Nucleotide Sites Using Machine Learning in Bioinformatics: A Brief Overview.

Jianhua Cai, Leyi Wei, Kun Zeng, Guobao Xiao

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018

SparseNet: A Sparse DenseNet for Image Classification.

Wenqi Liu, Kun Zeng

CoRR, 2018

Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network.

Kun Zeng, Hong Zheng, Congbo Cai, Yu Yang, Kaihua Zhang, Zhong Chen

Comput. Biol. Medicine, 2018

Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network.

Pu Liao, Jun Zhang, Kun Zeng, Yonggui Yang, Shuhui Cai, Gang Guo, Congbo Cai

Comput. Biol. Medicine, 2018

Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement.

Hong Zheng, Kun Zeng, Di Guo, Jiaxi Ying, Yu Yang, Xi Peng, Feng Huang, Zhong Chen, Xiaobo Qu

IEEE Access, 2018

Single Image Super-Resolution With Learning Iteratively Non-Linear Mapping Between Low- and High-Resolution Sparse Representations.

Kun Zeng, Hong Zheng, Yanyun Qu, Xiaobo Qu, Lijun Bao, Zhong Chen

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Persistent Memory Residual Network for Single Image Super Resolution.

Rong Chen, Yanyun Qu, Kun Zeng, Jinkang Guo, Cuihua Li, Yuan Xie

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

A Dual-Domain Perceptual Framework for Generating Visual Inconspicuous Counterparts.

Zhuo Su, Kun Zeng, Hanhui Li, Xiaonan Luo

ACM Trans. Multim. Comput. Commun. Appl., 2017

Coupled Deep Autoencoder for Single Image Super-Resolution.

Kun Zeng, Jun Yu, Ruxin Wang, Cuihua Li, Dacheng Tao

IEEE Trans. Cybern., 2017

Mutual Interference Measurement for Millimeter-Wave D2D Communications in Indoor Office Environment.

Kun Zeng, Ziming Yu, Jia He, Guangjian Wang, Yan Xin, Wen Tong

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

2016

SBRISK: speed-up binary robust invariant scalable keypoints.

Shuqiang Yang, Biao Li, Kun Zeng

J. Real Time Image Process., 2016

Coupled Autoencoder Network with Joint Regularizations for image super-resolution.

Huanhuan Zheng, Yanyun Qu, Kun Zeng

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

2015

Low-rank matrix factorization with multiple Hypergraph regularizer.

Taisong Jin, Jun Yu, Jane You, Kun Zeng, Cuihua Li, Zhengtao Yu

Pattern Recognit., 2015

2014

Corruptive Artifacts Suppression for Example-Based Color Transfer.

Zhuo Su, Kun Zeng, Li Liu, Bo Li, Xiaonan Luo

IEEE Trans. Multim., 2014

Image clustering by hyper-graph regularized non-negative matrix factorization.

Kun Zeng, Jun Yu, Cuihua Li, Jane You, Taisong Jin

Neurocomputing, 2014

Mitigating spectrum sensing data falsification attacks in hard-decision combining cooperative spectrum sensing.

Kun Zeng, Qihang Peng, Youxi Tang

Sci. China Inf. Sci., 2014

2013

Video Stylization: Painterly Rendering and Optimization With Content Extraction.

Liang Lin, Kun Zeng, Yizhou Wang, Ying-Qing Xu, Song Chun Zhu

IEEE Trans. Circuits Syst. Video Technol., 2013

Lake trial of a multi-hop underwater acoustic network for ocean transect sampling.

Yuehai Zhou, Kun Zeng, Dongsheng Chen, Feng Tong

Proceedings of the Conference on Underwater Networks and Systems, 2013

Design of a small acoustic modem for dense and low-cost oceanographic monitoring.

Kun Zeng, Yuehai Zhou, Fei-Yun Wu, Feng Tong

Proceedings of the Conference on Underwater Networks and Systems, 2013

2012

Representing and recognizing objects with massive local image patches.

Liang Lin, Ping Luo, Xiaowu Chen, Kun Zeng

Pattern Recognit., 2012

2011

Parallization of Adaboost Algorithm through Hybrid MPI/OpenMP and Transactional Memory.

Kun Zeng, Yuhua Tang, Fudong Liu

Proceedings of the 19th International Euromicro Conference on Parallel, 2011

Robust node selection for cooperative spectrum sensing with malicious users.

Kun Zeng, Jun Wang, Shaoqian Li, Danijela Cabric

Proceedings of the MILCOM 2011, 2011

Color style transfer by constraint locally linear embedding.

Kun Zeng, Ruimao Zhang, Xiaodan Lan, Yan Pan, Liang Lin

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Managing Data-Objects in Dynamically Reconfigurable Caches.

Xue-Jun Yang, Junjie Wu, Kun Zeng, Yuhua Tang

J. Comput. Sci. Technol., 2010

Reputation-based cooperative spectrum sensing with trusted nodes assistance.

Kun Zeng, Przemyslaw Pawelczak, Danijela Cabric

IEEE Commun. Lett., 2010

Painterly animation using video semantics and feature correspondence.

Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, Yingqing Xu, Song Chun Zhu

Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering, 2010

2009

From image parsing to painterly rendering.

Kun Zeng, Mingtian Zhao, Caiming Xiong, Song Chun Zhu

ACM Trans. Graph., 2009

Marker-less registration based on template tracking for augmented reality.

Liang Lin, Yongtian Wang, Yue Liu, Caiming Xiong, Kun Zeng

Multim. Tools Appl., 2009

Interactive rotoscoping: Extracting and tracking object sketch.

Han Lv, Liang Lin, Kun Zeng, Nong Sang

Proceedings of the International Conference on Image Processing, 2009

Layered graph matching by composite cluster sampling with collaborative and competitive interactions.

Liang Lin, Kun Zeng, Xiaobai Liu, Song Chun Zhu

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

Implementation and Optimization of Sparse Matrix-Vector Multiplication on Imagine Stream Processor.

Li Wang, Xuejun Yang, Guibin Wang, Xiaobo Yan, Yu Deng, Jing Du, Ying Zhang, Tao Tang, Kun Zeng

Proceedings of the Parallel and Distributed Processing and Applications, 2007

Architecture-Based Optimization for Mapping Scientific Applications to Imagine.

Jing Du, Xuejun Yang, Guibin Wang, Tao Tang, Kun Zeng

Proceedings of the Parallel and Distributed Processing and Applications, 2007

Optimizing Stream Organization to Improve the Performance of Scientific Computing Applications on the Stream Processor.

Ying Zhang, Gen Li, Xuejun Yang, Kun Zeng

Proceedings of the Algorithms and Architectures for Parallel Processing, 2007

Laplace Transformation on the FT64 Stream Processor.

Yu Deng, Xuejun Yang, Xiaobo Yan, Kun Zeng

Proceedings of the Advances in Computer Systems Architecture, 2007

2006

A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context.

Qihang Peng, Kun Zeng, Jun Wang, Shaoqian Li

Proceedings of the IEEE 17th International Symposium on Personal, 2006